Gamealia vs Steel
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Gamealia compared with Steel
| Detail | 
Gamealia | 
Steel |
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| What it does | Free web games portal where developers keep 60–70% of ad revenue
| GPU-accelerated rigid-body dynamics solver for robot learning
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| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | AR
| Not given
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| Pricing model | Free
| Open source
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| Pricing | Not given
| Not given
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| Key features | - AI-powered game publishing workflow via MCP server
- Automated browser testing on desktop and mobile
- Manual content review by humans
- Cloud save and player accounts
- Multiplayer with rooms and invites
- Integration with AI coding assistants (Claude, Cursor, VS Code, etc.)
- Support for multiple game engines
- Localized in 32 languages
- Non-exclusive distribution with 60–70% revenue share
- Cover and thumbnail generation from screenshots
| - 3.8× PhysX throughput on 20 benchmarks geometric mean
- 13.0× performance on heterogeneous task mixtures
- Per-environment work scheduling for efficiency
- Reduced-coordinate articulation dynamics
- Differentiable simulation
- Rigid-deformable coupling support
- Compliant and hydroelastic contact
- 62% less GPU memory than PhysX at matched batch size
- 3.90 million environment steps per second peak throughput
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| What makes it different | - No exclusivity—publish on Gamealia and other portals simultaneously
- AI assistant handles entire publishing workflow from code to submission
- Higher revenue share than competitors (60–70%)
- Manual human review before publication ensures quality
- 100% of revenue from players who come through your own link
| - Designed for heterogeneous workloads with different robots and tasks simulated together efficiently
- Integrated into open-source Newton for seamless adoption without separate physics stack
- Supports diverse physical interactions beyond rigid bodies
- Enables scaling of diverse robot experience for general-purpose learning
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 67 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 24 |
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| Citation Flow (Majestic) | 0 | 40 |
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| Referring domains (Majestic) | 0 | 2061 |
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4 details filled in for both companies.
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